The Problem - Information Overload and Bias
At Apteo, we love stocks, and if you're reading this, chances are you probably like them too. But these days, finding and analyzing the information you need to make a good stock investment is no easy task.
Financial news has become sensationalized, finance websites display more information than any one person can process, and everyone has their own opinion about how the markets will perform. There's a lot of noise and clutter, and much of it is biased.
Qualitative data, like analyst opinions, independent research, and news reports can present a challenge to investors. It's impossible to read everything that's available on a particular stock or industry, and it can be tough to know what information to trust. Quantitative data may be more objective, but it also comes with its own set of problems. Stats and metrics provide an obscured view of a company's full story. Financial models may be created with the best intentions, but are frequently full of assumptions that are never checked or validated.
Our Solution - Milton
We're working on a new system to address these (and other) hurdles in the world of investing. Our solution, affectionately named Milton, is an AI system that uses all information to analyze stocks using the latest, most sophisticated techniques in AI. These techniques allow Milton to account for bias, and unlike with humans, the more information that Milton sees, the better it gets at analyzing stocks.
We're still working on putting the finishing touches on Milton, but in the meantime, we've created a white paper that discusses how Milton works, and it does so in a way that anyone can understand.
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